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PyPI · #544 most downloaded on PyPI
Vega-Altair: A declarative statistical visualization library for Python.
Last release 11 days ago
15 Sep 2026
Release timing varies
gaps range from 2 weeks to 3 months
Nearly every release is documented
notes for 35 of 37 stable releases
5 versions withdrawn
withdrawn after publishing
10 years old
68 releases · first in 2016
Nothing published for this version
This version of Altair is based on Vega-Lite 1.2.1.
This version of Altair is based on Vega-Lite 1.2.1.
Support for JupyterLab/nteract through MIME based rendering. Enable this by calling enable_mime_rendering() before rendering visualizations (#216).
Change default import in all code and docs to import altair as alt
Check for missing and misspelled column names upon exporting or rendering, and raise FieldError (#399) if any problems are found. This can be disabled by setting Chart.validated_columns=False.
Raise MaxRowsExceeded if the number of rows in the dataset is larger than Chart.max_rows to guard against sending large datasets to the browser.
Move the Vega-Lite 1.x api into altair.v1 to make it easier for us to migrate to Vega-Lite 2.x and continue to support 1.x. No import change are needed as altair.v1 is aliased to altair in this release (#377).
Moved the example notebooks into a separate repository (https://github.com/altair-viz/altair_notebooks) that has Binder support (#391).
Add $schema to top-level JSON spec (#370).
Minor documentation revisions.
One column per quarter.
Update to Vega-Lite 1.2 and make all its enhancements available to Altair
Nov 7, 2016
Chart.serve method
(#197)altair.expr machinery to specify transformations and filterings
(#213)Chart.savechart method, which can output JSON, HTML, and (if Node
is installed) PNG and SVG. See https://altair-viz.github.io/documentation/displaying.htmlNothing published for this version
Nothing published for this version
Nothing published for this version
Nothing published for this version
Nothing published for this version
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